Biometric identification system

• US 20030229492A1
• Filed: 09/13/2002
• Published: 12/11/2003
• Est. Priority Date: 06/05/2002
• Status: Active Grant

• Current Assignee: VAS International Incorporated
• Original Assignee: VAS International Incorporated
• Inventors: Nolan, Marc Edward
• Granted Patent: US 6,799,163 B2
• Time in Patent Office: Days
• US Class Current: 704/247
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition
• CPC Class Codes: G10L 17/06 Decision making techniques; Pattern matching strategies

Abstract

In one embodiment the present invention provides a method for identity verification comprising the steps of: (a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data; (b) comparing at least one second spoken voice print of the user speaking at least one piece of travel data against a second stored voice print of the user speaking said piece of travel data; and (c) determining if the user is a given individual based the results of step (a) and step (b). In other embodiments, the present invention provides a method for controlling the use of an object or service comprising the steps of: (a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data; (b) comparing at least one second spoken voice print of the user speaking at least one piece of object identification data or service identification data against a second stored voice print of the user speaking said piece of object identification data; and (c) determining if the user is allowed to use said object or service based on the results of steps (a) and (b).

Claims

1. A method for identity verification comprising the steps of:

(a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data;

(b) comparing at least one second spoken voice print of the user speaking at least one piece of travel data against a second stored voice print of the user speaking said piece of travel data; and

(c) determining if the user is a given individual based the results of step (a) and step (b).

2. The method of claim 1, wherein step (a) comprises comparing first spoken voice prints of at least two pieces of personal data against respective stored voice prints of the user speaking each of said pieces of personal data.

3. The method of claim 1, wherein step (b) comprises comparing first spoken voice prints of at least two pieces of travel data against respective stored voice prints of the user speaking each of said pieces of travel data.

4. The method of claim 1, further comprising the step of:

(d) comparing at least one third spoken voice print of the user speaking at least one piece of alias data against a stored voice print of the user speaking said piece of alias data, wherein step (c) further comprises determining if the user is a given individual based on step (d).

5. The method of claim 4, wherein step (d) comprises comparing first spoken voice prints of at least two pieces of alias data against respective stored voice prints of the user speaking each of said pieces of alias data.

6. The method of claim 1, further comprising sending out an alert if the user is determined not to be a given individual in step (c).

7. The method of claim 1, further comprising informing the user to proceed with the user'"'"'s travel plans if the user is determined to be a given individual in step (c).

8. The method of claim 1, further comprising informing the user to proceed with the user'"'"'s travel plans if the user is determined to be a given individual in step (c).

9. The method of claim 1, further comprising informing the user to proceed to a boarding area, if the user is determined to be a given individual in step (c).

10. The method of claim 1, further comprising informing the user to board if the user is determined to be a given individual in step (c).

11. The method of claim 1, wherein said method is implemented in a computer system.

12. A machine readable medium storing instructions that, if executed by a computer system, causes the computer system to perform a set of operations comprising the steps of:

(a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data;

(b) comparing at least one second spoken voice print of the user speaking at least one piece of travel data against a second stored voice print of the user speaking said piece of travel data; and

(c) determining if the user is a given individual based the results of step (a) and step (b).

13. The machine readable medium of claim 12, wherein step (a) comprises comparing first spoken voice prints of at least two pieces of personal data against respective stored voice prints of the user speaking each of said pieces of personal data.

14. The machine readable medium of claim 12, wherein step (b) comprises comparing first spoken voice prints of at least two pieces of travel data against respective stored voice prints of the user speaking each of said pieces of travel data.

15. The machine readable medium of claim 12, wherein said set of operations further comprises the step of:

(d) comparing at least one third spoken voice print of the user speaking at least one piece of alias data against a stored voice print of the user speaking said piece of alias data, wherein step (c) further comprises determining if the user is a given individual based on step (d).

16. The machine readable medium of claim 15, wherein step (d) comprises comparing first spoken voice prints of at least two pieces of alias data against respective stored voice prints of the user speaking each of said pieces of alias data.

17. The machine readable medium of claim 12, wherein said set of instructions further comprises sending out an alert if the user is determined not to be a given individual in step (c).

18. The machine readable medium of claim 12, wherein said set of instructions further comprises informing the user to proceed with the user'"'"'s travel plans if the user is determined to be a given individual in step (c).

19. The machine readable medium of claim 12, wherein said set of instructions further comprises informing the user to proceed with the user'"'"'s travel plans if the user is determined to be a given individual in step (c).

20. The machine readable medium of claim 12, wherein said set of instructions further comprises informing the user to proceed to a boarding area, if the user is determined to be a given individual in step (c).

21. The machine readable medium of claim 12, wherein said set of instructions further comprises informing the user to board if the user is determined to be a given individual in step (c).

22. A computer system implementing a method for identity verification comprising the steps of:

(a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data;

(b) comparing at least one second spoken voice print of the user speaking at least one piece of travel data against a second stored voice print of the user speaking said piece of travel data; and

(c) determining if the user is a given individual based the results of step (a) and step (b).

23. The computer system of claim 22, wherein step (a) comprises comparing first spoken voice prints of at least two pieces of personal data against respective stored voice prints of the user speaking each of said pieces of personal data.

24. The computer system of claim 22, wherein step (b) comprises comparing first spoken voice prints of at least two pieces of travel data against respective stored voice prints of the user speaking each of said pieces of travel data.

25. The computer system of claim 22, wherein said method further comprises the step of:

(d) comparing at least one third spoken voice print of the user speaking at least one piece of alias data against a stored voice print of the user speaking said piece of alias data, wherein step (c) further comprises determining if the user is a given individual based on step (d).

26. The computer system of claim 25, wherein step (d) comprises comparing first spoken voice prints of at least two pieces of alias data against respective stored voice prints of the user speaking each of said pieces of alias data.

27. The computer system of claim 22, wherein said method further comprises sending out an alert if the user is determined not to be a given individual in step (c).

28. The computer system of claim 22, wherein said method further comprises informing the user to proceed with the user'"'"'s travel plans if the user is determined to be a given individual in step (c).

29. The computer system of claim 22, wherein said method further comprises informing the user to proceed with the user'"'"'s travel plans if the user is determined to be a given individual in step (c).

30. The computer system of claim 22, wherein said method further comprises informing the user to proceed to a boarding area, if the user is determined to be a given individual in step (c).

31. The computer system of claim 22, wherein said method further comprises informing the user to board if the user is determined to be a given individual in step (c).

32. A method for controlling the use of an object comprising the steps of:

(a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data;

(b) comparing at least one second spoken voice print of the user speaking at least one piece of object identification data against a second stored voice print of the user speaking said piece of object identification data; and

(c) determining if the user is allowed to use said object based on the results of steps (a) and (b).

33. The method of claim 32, wherein step (a) comprises comparing first spoken voice prints of at least two pieces of personal data against respective stored voice prints of the user speaking each of said pieces of personal data.

34. The method of claim 32, wherein step (b) comprises comparing first spoken voice prints of at least two pieces of object identification data against respective stored voice prints of the user speaking each of said pieces of alias data.

35. The method of claim 32, wherein said personal data comprises at least one portion of the user'"'"'s name.

36. The method of claim 32, wherein said object comprises an electronic device.

37. The method of claim 36, wherein said object comprises a portable electronic device.

38. The method of claim 36, wherein said object comprises a hand held electronic device.

39. The method of claim 32, wherein said object comprises a vehicle.

40. The method of claim 32, wherein said object comprises a test.

41. The method of claim 40, wherein said test comprises a test printed on paper.

42. The method of claim 40, wherein said test comprises an electronic test.

43. A machine readable medium storing instructions that, if executed by a computer system, causes the computer system to perform a set of operations comprising the steps of:

(a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data;

(b) comparing at least one second spoken voice print of the user speaking at least one piece of object identification data against a second stored voice print of the user speaking said piece of object identification data; and

(c) determining if the user is allowed to use said object based on the results of steps (a) and (b).

44. The machine readable medium of claim 43, wherein step (a) comprises comparing first spoken voice prints of at least two pieces of personal data against respective stored voice prints of the user speaking each of said pieces of personal data.

45. The machine readable medium of claim 43, wherein step (b) comprises comparing first spoken voice prints of at least two pieces of object identification data against respective stored voice prints of the user speaking each of said pieces of alias data.

46. The machine readable medium of claim 43, wherein said personal data comprises at least one portion of the user'"'"'s name.

47. The machine readable medium of claim 43, wherein said object comprises an electronic device.

48. The machine readable medium of claim 47, wherein said object comprises a portable electronic device.

49. The machine readable medium of claim 47, wherein said object comprises a hand held electronic device.

50. The machine readable medium of claim 43, wherein said object comprises a vehicle.

51. The machine readable medium of claim 43, wherein said object comprises a test.

52. The machine readable medium of claim 51, wherein said test comprises a test printed on paper.

53. The machine readable medium of claim 51, wherein said test comprises an electronic test.

54. A computer system implementing a method for controlling access to an object comprising the steps of:

(a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data;

(b) comparing at least one second spoken voice print of the user speaking at least one piece of object identification data against a second stored voice print of the user speaking said piece of object identification data; and

(c) determining if the user is allowed to use said object based on the results of steps (a) and (b).

55. The computer system of claim 54, wherein step (a) comprises comparing first spoken voice prints of at least two pieces of personal data against respective stored voice prints of the user speaking each of said pieces of personal data.

56. The computer system of claim 54, wherein step (b) comprises comparing first spoken voice prints of at least two pieces of object identification data against respective stored voice prints of the user speaking each of said pieces of alias data.

57. The computer system of claim 54, wherein said personal data comprises at least one portion of the user'"'"'s name.

58. The computer system of claim 54, wherein said object comprises an electronic device.

59. The computer system of claim 58, wherein said object comprises a portable electronic device.

60. The computer system of claim 58, wherein said object comprises a hand held electronic device.

61. The computer system of claim 54, wherein said object comprises a vehicle.

62. The computer system of claim 54, wherein said object comprises a test.

63. The computer system of claim 62, wherein said test comprises a test printed on paper.

64. The computer system of claim 62, wherein said test comprises an electronic test.

65. A method for controlling the use of a service comprising the steps of:

(a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data;

(b) comparing at least one second spoken voice print of the user speaking at least one piece of service identification data against a second stored voice print of the user speaking said piece of service identification data; and

(c) determining if the user is allowed to use said service based on the results of steps (a) and (b).

66. The method of claim 65, wherein step (a) comprises comparing first spoken voice prints of at least two pieces of personal data against respective stored voice prints of the user speaking each of said pieces of personal data.

67. The method of claim 65, wherein step (b) comprises comparing first spoken voice prints of at least two pieces of service identification data against respective stored voice prints of the user speaking each of said pieces of alias data.

68. The method of claim 65, wherein said personal data comprises at least one portion of the user'"'"'s name.

69. The method of claim 65, wherein said service comprises at least one medical service.

70. The method of claim 65, wherein said method is implemented in a computer system.

71. A machine readable medium storing instructions that, if executed by a computer system, causes the computer system to perform a set of operations comprising the steps of:

(a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data;

(b) comparing at least one second spoken voice print of the user speaking at least one piece of service identification data against a second stored voice print of the user speaking said piece of service identification data; and

(c) determining if the user is allowed to use said service based on the results of steps (a) and (b).

72. The machine readable medium of claim 71, wherein step (a) comprises comparing first spoken voice prints of at least two pieces of personal data against respective stored voice prints of the user speaking each of said pieces of personal data.

73. The machine readable medium of claim 71, wherein step (b) comprises comparing first spoken voice prints of at least two pieces of service identification data against respective stored voice prints of the user speaking each of said pieces of alias data.

74. The machine readable medium of claim 71, wherein said personal data comprises at least one portion of the user'"'"'s name.

75. The machine readable medium of claim 71, wherein said service comprises at least one medical service.

76. A computer system implementing a method for controlling access to a portable electronic device comprising the steps of:

(a) comparing at least one first spoken voice print of a user speaking at least one piece of personal data against a first stored voice print of the user speaking said at least one piece of personal data;

(b) comparing at least one second spoken voice print of the user speaking at least one piece of service identification data against a second stored voice print of the user speaking said piece of service identification data; and

(c) determining if the user is allowed to use said service based on the results of steps (a) and (b).

77. The computer system of claim 76, wherein step (a) comprises comparing first spoken voice prints of at least two pieces of personal data against respective stored voice prints of the user speaking each of said pieces of personal data.

78. The computer system of claim 76, wherein step (b) comprises comparing first spoken voice prints of at least two pieces of service identification data against respective stored voice prints of the user speaking each of said pieces of alias data.

79. The computer system of claim 76, wherein said personal data comprises at least one portion of the user'"'"'s name.

80. The computer system of claim 76, wherein said service comprises at least one medical service.